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Identifying COVID-19 Severity-Related SARS-CoV-2 Mutation Using a Machine Learning Method.
Huang F, Chen L, Guo W, Zhou X, Feng K, Huang T, Cai Y. Huang F, et al. Life (Basel). 2022 May 28;12(6):806. doi: 10.3390/life12060806. Life (Basel). 2022. PMID: 35743837 Free PMC article.
Meanwhile, four sets of quantitative rules were set up, which can help us to more intuitively understand the role of each mutation in differentiating the clinical status of COVID-19 patients. Identified key mutations linked to virologic properties will help better understa …
Meanwhile, four sets of quantitative rules were set up, which can help us to more intuitively understand the role of each mutation in differ …
Identification of Key Genes in Fetal Gut Development at Single-Cell Level by Exploiting Machine Learning Techniques.
Ma Q, Meng M, Zhou X, Guo W, Feng K, Huang T, Cai YD. Ma Q, et al. Proteomics. 2024 Dec;24(23-24):e202400104. doi: 10.1002/pmic.202400104. Epub 2024 Sep 26. Proteomics. 2024. PMID: 39324223
Several important genes were recognized by multiple feature ranking algorithms, such as FGG, MDK, RBP1, RBP2, IGFBP7, and SPON2. These features were key in differentiating specific developing intestinal cells, including epithelial, immune, mesenchymal, and vasculature cell …
Several important genes were recognized by multiple feature ranking algorithms, such as FGG, MDK, RBP1, RBP2, IGFBP7, and SPON2. These featu …
13 results